Data Fusion and Perception

✍ Scribed by Giacomo Della Riccia, Hans-Joachim Lenz, Rudolf Kruse (eds.)

Publisher: Springer-Verlag Wien
Year: 2001
Tongue: English
Leaves: 252
Series: International Centre for Mechanical Sciences 431
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis”, which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.

✦ Table of Contents

Front Matter....Pages ii-x
Front Matter....Pages 1-1
Statistical Learning and Kernel Methods....Pages 3-24
A combined Bayes — maximum likelihood method for regression....Pages 25-49
Front Matter....Pages 51-51
Possibility Theory in Information Fusion....Pages 53-76
Information Fusion in Neuro-Fuzzy Systems....Pages 77-90
Qualitative Aggregation of Bayesian Networks....Pages 91-108
Classification and Fusion....Pages 109-120
On Information Fusion in the Life-Sciences....Pages 121-134
Fusion of Image Information under Imprecision and Uncertainty: Numerical Methods....Pages 135-168
Front Matter....Pages 169-169
Facets of Emotions in Humans and Artifacts....Pages 171-181
Front Matter....Pages 183-183
The Soul of A New Machine: The Soccer Robot Team of the FU Berlin....Pages 185-207
Fuzzy quantifiers: a linguistic technique for data fusion....Pages 209-236
Transformation of attribute space by function decomposition....Pages 237-247
Back Matter....Pages 249-250

✦ Subjects

Computing Methodologies; Probability and Statistics in Computer Science; Statistics and Computing/Statistics Programs; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Operations Research, Management Sc

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